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{ "pk": 26307, "title": "Modeling N400 amplitude using vector space models of word representation", "subtitle": null, "abstract": "We use a vector space model (VSM) to simulate semantic relat-edness effects in sentence processing, and use this connectionto predict N400 amplitude in an ERP study by Federmeierand Kutas (1999). We find that the VSM-based model is ableto capture key elements of the authors’ manipulations and re-sults, accounting for aspects of the results that are unexplainedby cloze probability. This demonstration provides a proof ofconcept for use of VSMs in modeling the particular contextrepresentations and corresponding facilitation processes thatseem to influence non-cloze-like behavior in the N400.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "N400" }, { "word": "vector space models" }, { "word": "semantic relatedness" } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/35n97456", "frozenauthors": [ { "first_name": "Allyson", "middle_name": "", "last_name": "Ettinger", "name_suffix": "", "institution": "University of Maryland", "department": "" }, { "first_name": "Naomi", "middle_name": "", "last_name": "Feldman", "name_suffix": "", "institution": "University of Maryland", "department": "" }, { "first_name": "Philip", "middle_name": "", "last_name": "Resnik", "name_suffix": "", "institution": "University of Maryland", "department": "" }, { "first_name": "Colin", "middle_name": "", "last_name": "Phillips", "name_suffix": "", "institution": "University of Maryland", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2016-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26307/galley/15943/download/" } ] }